HUBUNGAN PENDAPATAN DAN POLA KONSUMSI MASYARAKAT PERDESAAN DAN PERKOTAAN DI SULAWESI UTARA
Bibliographic record
Abstract
The study aims to determine the relationship between income and consumption patterns of rural and urban communities in North Sulawesi. Data analysis in this research was carried out descriptively. The descriptive research method is a research method that provides a general description of the object being studied, such as looking at the movement of each research variable, one of which is by describing the movement of each research variable in the form of a table or graph. The consumption patterns of rural and urban communities show diversity. On average, between 2018-2022, rural communities in North Sulawesi, except for rural areas in Bitung City, allocate more expenditure to non-food consumption than to food consumption. Furthermore, of the eleven districts and four cities in North Sulawesi, only urban communities in Minahasa Regency, Talaud Islands, Manado City, Tomohon City and Kotamobagu City have a greater percentage of expenditure on non-food consumption than food consumption. This phenomenon indicates that apart from income, there are other factors that influence people's consumption patterns in both rural and urban areas in North Sulawesi.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".